Showing results 24 to 43 of 47
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| Issue Date | Title | Author(s) |
| 2020-08-01 | Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia | Feng, P; Wang, B; Liu, DL; Ji, F; Niu, X; Ruan, H; Shi, L; Yu, Q |
| 2019-07-01 | Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia | Feng, P; Wang, B; Liu, DL; Yu, Q |
| 2019-10-01 | Modelling and evaluating the impacts of climate change on three major crops in south-eastern Australia using regional climate model simulations | Wang, B; Liu, DL; Evans, JP; Ji, F; Waters, C; Macadam, I; Feng, P; Beyer, K |
| 2023-09-01 | Modelling interactions between cowpea cover crops and residue retention in Australian dryland cropping systems under climate change | He, Q; Liu, DL; Wang, B; Cowie, A; Simmons, A; Waters, C; Li, L; Feng, P; Li, Y; Voil, PD; Huete, A; Yu, Q |
| 2017-10-01 | Modelling wheat yield change under CO<inf>2</inf> increase, heat and water stress in relation to plant available water capacity in eastern Australia | Wang, B; Liu, DL; Asseng, S; Macadam, I; Yu, Q |
| 2018-08-01 | Multi-model ensemble projections of future extreme heat stress on rice across southern China | He, L; Cleverly, J; Wang, B; Jin, N; Mi, C; Liu, DL; Yu, Q |
| 2016-06-27 | Multi-model ensemble projections of future extreme temperature change using a statistical downscaling method in south eastern Australia | Wang, B; Liu, DL; Macadam, I; Alexander, LV; Abramowitz, G; Yu, Q |
| 2021-07-21 | Optimizing Sowing Date and Planting Density Can Mitigate the Impacts of Future Climate on Maize Yield: A Case Study in the Guanzhong Plain of China | Xu, F; Wang, B; He, C; Liu, DL; Feng, P; Yao, N; Zhang, R; Xu, S; Xue, J; Feng, H; Yu, Q; He, J |
| 2020-01-01 | Optimizing sowing window and cultivar choice can boost China’s maize yield under 1.5 °C and 2 °C global warming | Huang, M; Wang, J; Wang, B; Liu, DL; Yu, Q; He, D; Wang, N; Pan, X |
| 2023-12-01 | Performance of potential evapotranspiration models across different climatic stations in New South Wales, Australia | Shi, L; Wang, B; Liu, DL; Feng, P; Cleverly, J; Li, L; Zhang, G; Yu, Q |
| 2023-06-30 | Probabilistic assessment of drought impacts on wheat yield in south-eastern Australia | Xiang, K; Wang, B; Liu, DL; Chen, C; Waters, C; Huete, A; Yu, Q |
| 2019-02-01 | Projected changes in drought across the wheat belt of southeastern Australia using a downscaled climate ensemble | Feng, P; Liu, DL; Wang, B; Waters, C; Zhang, M; Yu, Q |
| 2019-01-01 | Propagation of climate model biases to biophysical modelling can complicate assessments of climate change impact in agricultural systems | Liu, DL; Wang, B; Evans, J; Ji, F; Waters, C; Macadam, I; Yang, X; Beyer, K |
| 2020-11-01 | Quantifying future drought change and associated uncertainty in southeastern Australia with multiple potential evapotranspiration models | Shi, L; Feng, P; Wang, B; Liu, DL; Yu, Q |
| 2018-11-01 | Quantifying sources of uncertainty in projected wheat yield changes under climate change in eastern Australia | Wang, B; Liu, DL; Waters, C; Yu, Q |
| 2020-09-15 | Quantifying the impacts of pre-occurred ENSO signals on wheat yield variation using machine learning in Australia | Wang, B; Feng, P; Waters, C; Cleverly, J; Liu, DL; Yu, Q |
| 2017-05-04 | Responses of nitrous oxide emissions from crop rotation systems to four projected future climate change scenarios on a black Vertosol in subtropical Australia | Li, Y; Liu, DL; Schwenke, G; Wang, B; Macadam, I; Wang, W; Li, G; Dalal, RC |
| 2022-10-01 | Soil properties resulting in superior maize yields upon climate warming | Feng, P; Wang, B; Harrison, MT; Wang, J; Liu, K; Huang, M; Liu, DL; Yu, Q; Hu, K |
| 2020-11 | Sources of uncertainty for wheat yield projections under future climate are site-specific | Wang, B; Feng, P; Liu, DL; O’Leary, GJ; Macadam, I; Waters, C; Asseng, S; Cowie, A; Jiang, T; Xiao, D; Ruan, H; He, J; Yu, Q |
| 2018-01-01 | Spatio-temporal distribution of sugarcane potential yields and yield gaps in Southern China | Zu, Q; Mi, C; Liu, DL; He, L; Kuang, Z; Fang, Q; Ramp, D; Li, L; Wang, B; Chen, Y; Li, J; Jin, N; Yu, Q |
